Gen AI Architect

About The Role

We are seeking an experienced Generative AI Architect (Level 4) to lead the design, architecture, and implementation of enterprise-scale AI solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and cloud-native architectures.

Responsibilities

• Design and implement enterprise-grade Generative AI and Agentic AI solutions.
• Architect scalable AI platforms leveraging LLMs, RAG, vector databases, and multi-agent systems.
• Lead solution design using OpenAI, Claude, Gemini, Llama, and other foundation models.
• Develop AI architectures on AWS, Azure, or GCP with a focus on security, scalability, and performance.
• Define best practices for prompt engineering, model evaluation, AI governance, and Responsible AI.
• Collaborate with business stakeholders to translate business requirements into AI-driven solutions.
• Lead technical teams through architecture reviews and solution delivery.
• Establish MLOps/LLMOps practices for deployment, monitoring, and model lifecycle management.
• Mentor AI engineers and development teams on GenAI technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 10+ years of overall IT experience with software engineering, cloud architecture, or AI/ML.
• 3+ years of hands-on Generative AI architecture experience.
• Strong expertise in Python and AI development frameworks.

Skills

• Experience with:
  • OpenAI, Claude, Gemini, Llama
  • LangChain, LangGraph, CrewAI, AutoGen
  • RAG architectures and Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB)
  • AWS Bedrock, Azure OpenAI, Google Vertex AI
  • Docker, Kubernetes, CI/CD, MLOps/LLMOps
• Strong understanding of AI governance, security, compliance, and Responsible AI.
• Excellent communication and client-facing skills.

Preferred Qualifications

• Experience designing Agentic AI and multi-agent architectures.
• Knowledge of MCP (Model Context Protocol) and AI agent ecosystems.
• Experience with AI observability, evaluation frameworks, and guardrails.
• Consulting or customer-facing architecture experience.
• Relevant cloud certifications preferred.

Location: Remote (USA) | Travel as needed | Employment Type: Full-Time